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Frequency Domain Blockiness and Blurriness Meter for Image Quality Assessment
Muhammad Tahir QADRI, Tan, K.T, Ghanbari, Muhammad
Pages - 352 - 360     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 5   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
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KEYWORDS
Blockiness and Blurriness Measurement, Full Reference, Image Quality Assessment
ABSTRACT
Image and video compression introduces distortions (artefacts) to the coded image. The most prominent artefacts added are blockiness and blurriness. Many existing quality meters are normally distortion-specific. This paper proposes an objective quality meter for quantifying the combined blockiness and blurriness distortions in frequency domain. The model first applies edge detection and cancellation, then spatial masking to mimic the characteristics of the human visual system. Blockiness is then estimated by transforming image into frequency domain, followed by finding the ratio of harmonics to other AC components. Blurriness is determined by comparing the high frequency coefficients of the reference and coded images due to the fact that blurriness reduces the high frequency coefficients. Then, both blockiness and blurriness distortions are combined for a single quality metric. The meter is tested on blocky and blurred images from the LIVE image database, with a correlation coefficient of 95-96%.
CITED BY (3)  
1 Ibrar-ul-Haque, M., Tahir Qadri, M., & Siddiqui, N. (2015). Reduced reference blockiness and blurriness meter for image quality assessment. The Imaging Science Journal, 63(5), 296-302.
2 Taylor, W., & Qureshi, F. Z. Automatic Video Editing for Sensor-Rich Videos.
3 FANBO, D. (2013). On Using and Improving Gradient Domain Processing for Image Enhancement (Doctoral dissertation).
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Dr. Muhammad Tahir QADRI
University of Essex - United Kingdom
mtahirq@hotmail.com
Dr. Tan, K.T
- Singapore
Dr. Ghanbari, Muhammad
- United Kingdom


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